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    MCP server for AI-powered web research — search (Google, Brave, Serper, SearXNG), scrape any page, extract PDFs/DOCX/YouTube transcripts, academic & patent search. Single Go binary. Works with Claude, Cursor, Copilot, and any MCP client.
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    MIT
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    An MCP server that enables AI assistants to perform web searches on Perplexity.ai using browser automation instead of an official API. It supports persistent authenticated sessions and returns search results along with cited sources directly to the client.
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    36 npm
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    MIT
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    Provides programmatic access to Material Web documentation and components for AI agents, enabling documentation search, template generation, and HTML validation.
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    8 npm
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    MIT
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    Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.
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    Enables AI assistants to access real-time web data through search, markdown scraping, and browser automation while bypassing anti-bot protections. It provides tools for web research, e-commerce monitoring, and data extraction from across the globe.
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    7,869 npm
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    Local MCP server for generating image assets with Google Gemini (Nano Banana 2 / Pro). Supports transparent PNG/WebP output, exact resizing/cropping, up to 14 reference images, and Google Search grounding.
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    13 npm
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    MIT
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    Connects LLMs to your macOS Shortcuts library, enabling interactive workflows, discovery, and management through AppleScript and CLI integration.
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    MIT
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    Enables MCP clients to search, browse, and retrieve galleries from CosplayTele and similar cosplay image sites, with multiple sources, popularity/latest sorting, and AI-content filtering.
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    MIT
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    Provides expert design and marketing guidance for AI coding agents through curated knowledge documents and tools. Covers UI/UX, copywriting, SEO, GEO, and conversion optimization.
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    124 npm
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    An MCP server that fetches web pages and extracts clean, AI-friendly Markdown content using Mozilla Readability. It provides secure web access for LLMs with built-in SSRF protection and automated content cleaning for improved context retrieval and summarization.
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    284 npm
    MIT